Article

Deep learning and rules-based hybrid approach to improve the accuracy of early detection of skin cancer

2022-12-29

Abstract excerpt

Skin cancer is one of the most dangerous diseases in the world. As per the American Cancer Society, about 99,780 new melanomas will be diagnosed in the United States and about 7,650 people are expected to die of melanoma. Correctly classifying skin lesions at an early stage could aid clinical decision-making by providing an accurate disease diagnosis, potentially increasing the chances of cure before cancer spread...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c8447785-111d-5c86-bd0a-fe410fca68ae
DOI: 10.22541/au.167235618.88986321/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep learning and rules-based hybrid approach to improve the accuracy of early detection of skin cancerDOI 10.22541/au.167235618.88986321/v1Read

AI-based Skin Cancer Detection Algorithms: Opportunities, Challenges and Way ForwardSemantic proximity Read

Integrative Approaches for Skin Cancer Detection and Classification : A Dual modal AnalysisSemantic proximity Read

Skin Cancer Detection Using Deep Learning Techniques: A ReviewSemantic proximity Read

Use of artificial intelligence as a diagnostic support tool for skin lesions in primary care: feasibility study in clinical practiceSemantic proximity Read

Cancer-Net SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy ImagesSemantic proximity Read

Skin Lesion Classification and Detection Using Machine Learning in DermatologySemantic proximity Read

Melanoma Prediction Using a Deep Convolutional Neural Network (CNN) ModelSemantic proximity Read

Improved Skin Cancer Detection with 3D Total Body Photography: Integrating AI Algorithms for Precise DiagnosisSemantic proximity Read

How is Artificial Intelligence Transforming the Skin Cancer Screening Pathway? An Umbrella ReviewSemantic proximity Read

Melanoma Detection Using Deep Learning and Cool & Warm Color SegmentationSemantic proximity Read

A Melanoma-Sensitive Deep Learning Model for Multi-Class Skin Cancer Classification Using Dermoscopic ImagesSemantic proximity Read

Multimodal Image Dataset for AI-based Skin Cancer (MIDAS) BenchmarkingSemantic proximity Read